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Chatterjee S, Zaia J. Proteomics-based mass spectrometry profiling of SARS-CoV-2 infection from human nasopharyngeal samples. MASS SPECTROMETRY REVIEWS 2024; 43:193-229. [PMID: 36177493 PMCID: PMC9538640 DOI: 10.1002/mas.21813] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/07/2022] [Accepted: 09/09/2022] [Indexed: 05/12/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the on-going global pandemic of coronavirus disease 2019 (COVID-19) that continues to pose a significant threat to public health worldwide. SARS-CoV-2 encodes four structural proteins namely membrane, nucleocapsid, spike, and envelope proteins that play essential roles in viral entry, fusion, and attachment to the host cell. Extensively glycosylated spike protein efficiently binds to the host angiotensin-converting enzyme 2 initiating viral entry and pathogenesis. Reverse transcriptase polymerase chain reaction on nasopharyngeal swab is the preferred method of sample collection and viral detection because it is a rapid, specific, and high-throughput technique. Alternate strategies such as proteomics and glycoproteomics-based mass spectrometry enable a more detailed and holistic view of the viral proteins and host-pathogen interactions and help in detection of potential disease markers. In this review, we highlight the use of mass spectrometry methods to profile the SARS-CoV-2 proteome from clinical nasopharyngeal swab samples. We also highlight the necessity for a comprehensive glycoproteomics mapping of SARS-CoV-2 from biological complex matrices to identify potential COVID-19 markers.
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Affiliation(s)
- Sayantani Chatterjee
- Department of Biochemistry, Center for Biomedical Mass SpectrometryBoston University School of MedicineBostonMassachusettsUSA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass SpectrometryBoston University School of MedicineBostonMassachusettsUSA
- Bioinformatics ProgramBoston University School of MedicineBostonMassachusettsUSA
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2
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Downard KM. 25 Years Responding to Respiratory and Other Viruses with Mass Spectrometry. Mass Spectrom (Tokyo) 2023; 12:A0136. [PMID: 38053835 PMCID: PMC10694638 DOI: 10.5702/massspectrometry.a0136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 10/24/2023] [Indexed: 12/07/2023] Open
Abstract
This review article presents the development and application of mass spectrometry (MS) approaches, developed in the author's laboratory over the past 25 years, to detect; characterise, type and subtype; and distinguish major variants and subvariants of respiratory viruses such as influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). All features make use of matrix-assisted laser desorption ionisation (MALDI) mass maps, recorded for individual viral proteins or whole virus digests. A MALDI-based immunoassay in which antibody-peptide complexes were preserved on conventional MALDI targets without their immobilisation led to an approach that enabled their indirect detection. The site of binding, and thus the molecular antigenicity of viruses, could be determined. The same approach was employed to study antivirals bound to their target viral protein, the nature of the binding residues, and relative binding affinities. The benefits of high-resolution MS were exploited to detect sequence-conserved signature peptides of unique mass within whole virus and single protein digests. These enabled viruses to be typed, subtyped, their lineage determined, and variants and subvariants to be distinguished. Their detection using selected ion monitoring improved analytical sensitivity limits to aid the identification of viruses in clinical specimens. The same high-resolution mass map data, for a wide range of viral strains, were input into a purpose-built algorithm (MassTree) in order to both chart and interrogate viral evolution. Without the need for gene or protein sequences, or any sequence alignment, this phylonumerics approach also determines and displays single-point mutations associated with viral protein evolution in a single-tree building step.
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Affiliation(s)
- Kevin M. Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia
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3
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Hoyle JS, Downard KM. High resolution mass spectrometry of respiratory viruses: beyond MALDI-ToF instruments for next generation viral typing, subtyping, variant and sub-variant identification. Analyst 2023; 148:4263-4273. [PMID: 37587867 DOI: 10.1039/d3an00953j] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
In the wake of the SARS-CoV2 pandemic, a point has been reached to assess the limitations and strengths of the analytical responses to virus identification and characterisation. Mass spectrometry has played a growing role in this area for over two decades, and this review highlights the benefits of mass spectrometry (MS) over PCR-based methods together with advantages of high mass resolution, high mass accuracy strategies over conventional MALDI-ToF and ESI-MS/MS instrumentation. This review presents the development and application of high resolution mass spectrometry approaches to detect, characterise, type and subtype, and distinguish variants of the influenza and SARS-CoV-2 respiratory viruses. The detection limits for the identification of SARS-CoV2 virus variants in clinical specimens and the future uptake of high resolution instruments in clinical laboratories are discussed. The same high resolution mass data can be used to monitor viral evolution and follow evolutionary trajectories.
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Affiliation(s)
- Joshua S Hoyle
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
| | - Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
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4
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Lanyon HE, Hoyle JS, Downard KM. Resolving omicron sub-variants of SARS CoV-2 coronavirus with MALDI mass spectrometry. Analyst 2023; 148:966-972. [PMID: 36757162 DOI: 10.1039/d2an01843h] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Mass mapping using high resolution mass spectrometry has been applied to identify and rapidly distinguish the omicron sub-variants across the BA.1-BA.5 lineages. Lineage-specific protein mutations in the surface spike protein give rise to peptide biomarkers of unique mass that can be confidently and sensitively detected with high resolution mass spectrometry. Those that are most efficiently ionised and detected within the S1 subunit in recombinant forms facilitate their detection in clinical specimens containing other SARS-CoV2 viral proteins and contaminants. A study of five dozen omicron-positive specimens, using a selected ion monitoring approach, detected peptide biomarkers for strains of BA.1, BA.2.75 and BA.4 sub-variants in 23%, 42% and 28% of samples respectively, consistent with their reported levels in the local population. The virus was confidently assigned in over 93% of omicron positive specimens. The ease of detection of the BA.2.75 variant, in particular, is of vital importance given its rapid global spread in late 2022 due to several immune evasive mutations within the receptor-binding domain.
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Affiliation(s)
- Henry E Lanyon
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
| | - Joshua S Hoyle
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
| | - Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.
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5
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Do T, Guran R, Adam V, Zitka O. Use of MALDI-TOF mass spectrometry for virus identification: a review. Analyst 2022; 147:3131-3154. [DOI: 10.1039/d2an00431c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The possibilities of virus identification, including SARS-CoV-2, by MALDI-TOF mass spectrometry are discussed in this review.
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Affiliation(s)
- Tomas Do
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
| | - Roman Guran
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
| | - Ondrej Zitka
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
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6
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Downard KM. SEQUENCE-FREE PHYLOGENETICS WITH MASS SPECTROMETRY. MASS SPECTROMETRY REVIEWS 2022; 41:3-14. [PMID: 33169385 DOI: 10.1002/mas.21658] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 08/31/2020] [Indexed: 06/11/2023]
Abstract
An alternative, more rapid, sequence-free approach to build phylogenetic trees has been conceived and implemented. Molecular phylogenetics has continued to mostly focus on improvement in tree construction based on gene sequence alignments. Here protein-based phylogenies are constructed using numerical data sets ("phylonumerics") representing the masses of peptide segments recorded in a mass mapping experiment. This truly sequence-free method requires no gene sequences, nor their alignment, to build the trees affording a considerable time and cost-saving to conventional phylogenetics methods. The approach also calculates single point amino acid mutations from a comparison of mass pairs from different maps in the data set and displays these at branch nodes across the tree together with their frequency. Studies of the consecutive, and near-consecutive, ancestral and descendant mutations across interconnected branches of a mass tree allow putative adaptive, epistatic, and compensatory mutations to be identified in order to investigate mechanisms associated with evolutionary processes and pathways. A side-by-side comparison of this sequence-free approach and conventional gene sequence phylogenetics is discussed.
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Affiliation(s)
- Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Sciences, Medicine, University of New South Wales, Sydney, New South Wales, Australia
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7
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Mann C, Griffin JH, Downard KM. Detection and evolution of SARS-CoV-2 coronavirus variants of concern with mass spectrometry. Anal Bioanal Chem 2021; 413:7241-7249. [PMID: 34532764 PMCID: PMC8445501 DOI: 10.1007/s00216-021-03649-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/25/2021] [Accepted: 09/02/2021] [Indexed: 12/24/2022]
Abstract
Mass mapping using high-resolution mass spectrometry has been applied to identify and rapidly distinguish SARS-CoV-2 coronavirus strains across five major variants of concern. Deletions or mutations within the surface spike protein across these variants, which originated in the UK, South Africa, Brazil and India (known as the alpha, beta, gamma and delta variants respectively), lead to associated mass differences in the mass maps. Peptides of unique mass have thus been determined that can be used to identify and distinguish the variants. The same mass map profiles are also utilized to construct phylogenetic trees, without the need for protein (or gene) sequences or their alignment, in order to chart and study viral evolution. The combined strategy offers advantages over conventional PCR-based gene-based approaches exploiting the ease with which protein mass maps can be generated and the speed and sensitivity of mass spectrometric analysis.
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Affiliation(s)
- Christian Mann
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia
| | - Justin H Griffin
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia
| | - Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia.
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8
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Mann C, Downard KM. Evolution of SARS CoV-2 Coronavirus Surface Protein Investigated with Mass Spectrometry Based Phylogenetics. ANAL LETT 2021. [DOI: 10.1080/00032719.2021.1928685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Christian Mann
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia
| | - Kevin M. Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia
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9
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Downard KM. Protein phylogenetics with mass spectrometry. A comparison of methods. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:1442-1454. [PMID: 33725067 DOI: 10.1039/d1ay00153a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Advances in protein mass spectrometry have provided the ability to identify and sequence proteins with unprecedented speed, sensitivity and accuracy. These benefits now offer advantages for studies of protein evolution and phylogeny avoiding the need to generate and align DNA sequences which can prove time consuming, costly and difficult in the case of large genomes and for highly diverse organisms. The methods of phylogenetic analysis using protein mass spectrometry can be classified into three categories: (1) de novo protein sequencing followed by multiple sequence alignment for classical phylogenetic reconstruction, (2) direct phylogenetic reconstruction using expressed protein mass profiles exploited in microbial biotyping applications, and (3) the construction of trees using proteolytic peptide mass map or fingerprint data. This review describes the three approaches together with the relevant tools and algorithms required to implement them. It also compares each of these alternative protein based methods alongside conventional gene sequence based phylogenetics.
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Affiliation(s)
- Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW 2031, Australia.
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10
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Evolution of Type B Influenza Virus Using a Mass Spectrometry Based Phylonumerics Approach. Evol Biol 2021. [DOI: 10.1007/s11692-021-09535-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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11
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Dollman NL, Griffin JH, Downard KM. Detection, Mapping, and Proteotyping of SARS-CoV-2 Coronavirus with High Resolution Mass Spectrometry. ACS Infect Dis 2020; 6:3269-3276. [PMID: 33205948 PMCID: PMC7688050 DOI: 10.1021/acsinfecdis.0c00664] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Indexed: 12/17/2022]
Abstract
A high resolution mass spectrometry approach has been applied for the first time to detect and characterize SARS-CoV-2 coronavirus in cell cultured and nasopharyngeal swab specimens. Peptide ions for three of the most abundant structural viral proteins (membrane, nucleocapid, and spike) are detected and assigned directly, by virtue of the high resolution and mass accuracy within the mass maps of whole virus digests, without the need for tandem mass spectrometry (MS/MS). MALDI-MS based approaches offer high sample throughput and speed, compared with those of LC-MS strategies, and detection limits at some 105 copies, or orders of magnitude less with selected ion monitoring, that compete favorably with conventional reverse transcription polymerase chain reaction (RT-PCR) strategies. The detection of signature peptides unique to SARS-CoV-2 coronavirus over those from the influenza virus allows for its unambiguous detection.
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Affiliation(s)
- Nicholas L. Dollman
- Infectious Disease Responses Laboratory,
Prince of Wales Clinical Sciences Research, Sydney, NSW 2031,
Australia
| | - Justin H. Griffin
- Infectious Disease Responses Laboratory,
Prince of Wales Clinical Sciences Research, Sydney, NSW 2031,
Australia
| | - Kevin M. Downard
- Infectious Disease Responses Laboratory,
Prince of Wales Clinical Sciences Research, Sydney, NSW 2031,
Australia
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12
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Abstract
Mass spectrometry imaging (MSI) is a label-free molecular imaging technique allowing an untargeted detection of a broad range of biomolecules and xenobiotics. MSI enables imaging of the spatial distribution of proteins, peptides, lipids and metabolites from a wide range of samples. To date, this technique is commonly applied to tissue sections in cancer diagnostics and biomarker development, but also molecular histology in general. Advances in the methodology and bioinformatics improved the resolution of MS images below the single cell level and increased the flexibility of the workflow. However, MSI-based research in virology is just starting to gain momentum and its full potential has not been exploited yet. In this review, we discuss the main applications of MSI in virology. We review important aspects of matrix-assisted laser desorption/ionization (MALDI) MSI, the most widely used MSI technique in virology. In addition, we summarize relevant literature on MSI studies that aim to unravel virus-host interactions and virus pathogenesis, to elucidate antiviral drug kinetics and to improve current viral disease diagnostics. Collectively, these studies strongly improve our general understanding of virus-induced changes in the proteome, metabolome and metabolite distribution in host tissues of humans, animals and plants upon infection. Furthermore, latest MSI research provided important insights into the drug distribution and distribution kinetics, especially in antiretroviral research. Finally, MSI-based investigations of oncogenic viruses greatly increased our knowledge on tumor mass signatures and facilitated the identification of cancer biomarkers.
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Affiliation(s)
- Luca D Bertzbach
- Institute of Virology, Freie Universität Berlin, Berlin, Germany
| | | | - Axel Karger
- Institute of Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany.
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14
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15
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Akand EH, Downard KM. Mechanisms of antiviral resistance in influenza neuraminidase revealed by a mass spectrometry based phylonumerics approach. Mol Phylogenet Evol 2019; 135:286-296. [DOI: 10.1016/j.ympev.2019.03.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 02/11/2019] [Accepted: 03/17/2019] [Indexed: 12/01/2022]
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16
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Ancestral and Compensatory Mutations that Promote Antiviral Resistance in Influenza N1 Neuraminidase Revealed by a Phylonumerics Approach. J Mol Evol 2018; 86:546-553. [DOI: 10.1007/s00239-018-9866-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 09/12/2018] [Indexed: 10/28/2022]
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17
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Akand EH, Downard KM. Mutational analysis employing a phylogenetic mass tree approach in a study of the evolution of the influenza virus. Mol Phylogenet Evol 2017; 112:209-217. [DOI: 10.1016/j.ympev.2017.04.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Revised: 03/29/2017] [Accepted: 04/05/2017] [Indexed: 11/28/2022]
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18
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Uddin R, Downard KM. Subtyping of hepatitis C virus with high resolution mass spectrometry. CLINICAL MASS SPECTROMETRY 2017. [DOI: 10.1016/j.clinms.2017.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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19
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Duriez E, Armengaud J, Fenaille F, Ezan E. Mass spectrometry for the detection of bioterrorism agents: from environmental to clinical applications. JOURNAL OF MASS SPECTROMETRY : JMS 2016; 51:183-199. [PMID: 26956386 DOI: 10.1002/jms.3747] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 12/14/2015] [Accepted: 01/13/2016] [Indexed: 06/05/2023]
Abstract
In the current context of international conflicts and localized terrorist actions, there is unfortunately a permanent threat of attacks with unconventional warfare agents. Among these, biological agents such as toxins, microorganisms, and viruses deserve particular attention owing to their ease of production and dissemination. Mass spectrometry (MS)-based techniques for the detection and quantification of biological agents have a decisive role to play for countermeasures in a scenario of biological attacks. The application of MS to every field of both organic and macromolecular species has in recent years been revolutionized by the development of soft ionization techniques (MALDI and ESI), and by the continuous development of MS technologies (high resolution, accurate mass HR/AM instruments, novel analyzers, hybrid configurations). New possibilities have emerged for exquisite specific and sensitive detection of biological warfare agents. MS-based strategies for clinical application can now address a wide range of analytical questions mainly including issues related to the complexity of biological samples and their available volume. Multiplexed toxin detection, discovery of new markers through omics approaches, and identification of untargeted microbiological or of novel molecular targets are examples of applications. In this paper, we will present these technological advances along with the novel perspectives offered by omics approaches to clinical detection and follow-up.
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Affiliation(s)
| | - Jean Armengaud
- CEA, iBiTec-S, Service de Pharmacologie et d'Immunologie, 30207, Bagnols sur-Cèze, France
| | - François Fenaille
- CEA, iBiTec-S, Service de Pharmacologie et d'Immunoanalyse, Laboratoire d'Etude du Métabolisme des Médicaments, MetaboHUB-Paris, CEA Saclay, Building 136, 91191, Gif-sur-Yvette cedex, France
| | - Eric Ezan
- CEA, Programme Transversal Technologies pour la Santé, 91191, Gif sur Yvette, France
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Majchrzykiewicz-Koehorst JA, Heikens E, Trip H, Hulst AG, de Jong AL, Viveen MC, Sedee NJA, van der Plas J, Coenjaerts FEJ, Paauw A. Rapid and generic identification of influenza A and other respiratory viruses with mass spectrometry. J Virol Methods 2015; 213:75-83. [PMID: 25500183 PMCID: PMC7113647 DOI: 10.1016/j.jviromet.2014.11.014] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 11/13/2014] [Accepted: 11/18/2014] [Indexed: 12/03/2022]
Abstract
The rapid identification of existing and emerging respiratory viruses is crucial in combating outbreaks and epidemics. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a rapid and reliable identification method in bacterial diagnostics, but has not been used in virological diagnostics. Mass spectrometry systems have been investigated for the identification of respiratory viruses. However, sample preparation methods were laborious and time-consuming. In this study, a reliable and rapid sample preparation method was developed allowing identification of cultured respiratory viruses. Tenfold serial dilutions of ten cultures influenza A strains, mixed samples of influenza A virus with human metapneumovirus or respiratory syncytial virus, and reconstituted clinical samples were treated with the developed sample preparation method. Subsequently, peptides were subjected to MALDI-TOF MS and liquid chromatography tandem mass spectrometry (LC-MS/MS). The influenza A strains were identified to the subtype level within 3h with MALDI-TOF MS and 6h with LC-MS/MS, excluding the culturing time. The sensitivity of LC-MS/MS was higher compared to MALDI-TOF MS. In addition, LC-MS/MS was able to discriminate between two viruses in mixed samples and was able to identify virus from reconstituted clinical samples. The development of an improved and rapid sample preparation method allowed generic and rapid identification of cultured respiratory viruses by mass spectrometry.
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Affiliation(s)
- Joanna A Majchrzykiewicz-Koehorst
- Netherlands Organization for Applied Scientific Research TNO, Department of CBRN Protection, Lange Kleiweg 137, 2288 GJ Rijswijk, The Netherlands
| | - Esther Heikens
- Department of Medical Microbiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Hein Trip
- Netherlands Organization for Applied Scientific Research TNO, Department of CBRN Protection, Lange Kleiweg 137, 2288 GJ Rijswijk, The Netherlands
| | - Albert G Hulst
- Netherlands Organization for Applied Scientific Research TNO, Department of CBRN Protection, Lange Kleiweg 137, 2288 GJ Rijswijk, The Netherlands
| | - Ad L de Jong
- Netherlands Organization for Applied Scientific Research TNO, Department of CBRN Protection, Lange Kleiweg 137, 2288 GJ Rijswijk, The Netherlands
| | - Marco C Viveen
- Department of Medical Microbiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Norbert J A Sedee
- Netherlands Organization for Applied Scientific Research TNO, Department of CBRN Protection, Lange Kleiweg 137, 2288 GJ Rijswijk, The Netherlands
| | - Jan van der Plas
- Expert Centre Force Health Protection, Health Care Division, Support Command, Ministry of Defence, Korte Molenweg 3, Building 37, 3941 PW Doorn, The Netherlands
| | - Frank E J Coenjaerts
- Department of Medical Microbiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Armand Paauw
- Netherlands Organization for Applied Scientific Research TNO, Department of CBRN Protection, Lange Kleiweg 137, 2288 GJ Rijswijk, The Netherlands.
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